<!-- This comment will put IE 6, 7 and 8 in quirks mode -->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<title>examples/Supervised/MklKernelTutorial.cpp Source File</title>
<script type="text/javaScript" src="search/search.js"></script>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3.0.1/es5/tex-mml-chtml.js"></script>
<script src="../../mlstyle.js"></script>
<link href="../css/besser.css" rel="stylesheet" type="text/css"/>
</head>
<!-- pretty cool: each body gets an id tag which is the basename of the web page  -->
<!--              and allows for page-specific CSS. this is client-side scripted, -->
<!--              so the id will not yet show up in the served source code -->
<script type="text/javascript">
    jQuery(document).ready(function () {
        var url = jQuery(location).attr('href');
        var pname = url.substr(url.lastIndexOf("/")+1, url.lastIndexOf(".")-url.lastIndexOf("/")-1);
        jQuery('#this_url').html('<strong>' + pname + '</strong>');
        jQuery('body').attr('id', pname);
    });
</script>
<body>
    <div id="shark_old">
        <div id="wrap">
            <div id="header">
                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
                <ul id="nav">
                    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/installation.html">Installation</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/tutorials/tutorials.html">Tutorials</a>
                    </li>
		    <li >
                        <a href="../../sphinx_pages/build/html/rest_sources/benchmark.html">Benchmarks</a>
                    </li>
                    <li class="active">
                        <a href="classes.html">Documentation</a>
                        <ul>
                            <li class="first"></li>
                            <li><a href="../../sphinx_pages/build/html/rest_sources/quickref/quickref.html">Quick references</a></li>
                            <li><a href="classes.html">Class list</a></li>
                            <li class="last"><a href="group__shark__globals.html">Global functions</a></li>
                        </ul>
                    </li>
                </ul>
            </div>
        </div>
    </div>
<div id="doxywrapper">
<!--
    <div id="global_doxytitle">Doxygen<br>Documentation:</div>
-->
    <div id="navrow_wrapper">
<!-- Generated by Doxygen 1.9.8 -->
<div id="nav-path" class="navpath">
  <ul>
<li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.html">examples</a></li><li class="navelem"><a class="el" href="dir_ca5943d51a26be5f1f9bc4d7d5956bc4.html">Supervised</a></li>  </ul>
</div>
</div><!-- top -->
<div class="header">
  <div class="headertitle"><div class="title">MklKernelTutorial.cpp</div></div>
</div><!--header-->
<div class="contents">
<a href="_mkl_kernel_tutorial_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="preprocessor">#include &lt;<a class="code" href="_random_8h.html">shark/Core/Random.h</a>&gt;</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="preprocessor">#include &lt;<a class="code" href="_normalize_kernel_unit_variance_8h.html">shark/Algorithms/Trainers/NormalizeKernelUnitVariance.h</a>&gt;</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="preprocessor">#include &lt;<a class="code" href="_gaussian_rbf_kernel_8h.html">shark/Models/Kernels/GaussianRbfKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="preprocessor">#include &lt;<a class="code" href="_weighted_sum_kernel_8h.html">shark/Models/Kernels/WeightedSumKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="preprocessor">#include &lt;<a class="code" href="_subrange_kernel_8h.html">shark/Models/Kernels/SubrangeKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="preprocessor">#include &lt;<a class="code" href="_mkl_kernel_8h.html">shark/Models/Kernels/MklKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="preprocessor">#include &lt;<a class="code" href="_linear_kernel_8h.html">shark/Models/Kernels/LinearKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="preprocessor">#include &lt;<a class="code" href="_discrete_kernel_8h.html">shark/Models/Kernels/DiscreteKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="preprocessor">#include &lt;<a class="code" href="_polynomial_kernel_8h.html">shark/Models/Kernels/PolynomialKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="preprocessor">#include &lt;boost/fusion/algorithm/iteration/fold.hpp&gt;</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="preprocessor">#include &lt;boost/fusion/include/as_vector.hpp&gt;</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span> </div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>        <span class="keyword">struct </span>HeterogeneousInputStruct{</div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span>        shark::RealVector rv1;</div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>        std::size_t st2;</div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>        shark::RealVector crv3;</div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    };</div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span> </div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="preprocessor">    #ifndef DOXYGEN_SHOULD_SKIP_THIS</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>        BOOST_FUSION_ADAPT_STRUCT(</div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>            HeterogeneousInputStruct,</div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>            (shark::RealVector, rv1)(std::size_t, st2)(shark::RealVector, crv3)</div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>        )</div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    <span class="preprocessor">#endif </span><span class="comment">/* DOXYGEN_SHOULD_SKIP_THIS */</span><span class="preprocessor"></span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span> </div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>    <span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>{</div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keyword">struct </span><a class="code hl_struct" href="structshark_1_1_batch.html" title="class which helps using different batch types">Batch</a>&lt; HeterogeneousInputStruct &gt;{</div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>            <a class="code hl_define" href="_batch_interface_adapt_struct_8h.html#a978bb8b7912d6fe6521afbd26db02021" title="This macro can be used to specialize a structure type easily to a batch type.">SHARK_CREATE_BATCH_INTERFACE_NO_TPL</a>(</div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>                HeterogeneousInputStruct,</div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>                (shark::RealVector, rv1)(std::size_t, st2)(shark::RealVector, crv3)</div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>            )</div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>        };</div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    }</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    </div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="keyword">using namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>;</div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="keyword">using namespace </span>std;</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span> </div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span> </div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span> </div>
<div class="foldopen" id="foldopen00043" data-start="{" data-end="}">
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"><a class="line" href="_mkl_kernel_tutorial_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">   43</a></span><span class="keywordtype">int</span> <a class="code hl_function" href="_datasets_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv)</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>{</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment"></span> </div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment"></span> </div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">// test points</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    RealVector x1(2);</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    x1(0)=2;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>    x1(1)=1;</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>    RealVector x2(2);</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    x2(0)=-2;</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    x2(1)=1;</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    </div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span> </div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>        <span class="comment">// initialize kernels</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel1( 0.1 );</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel2( 0.01 );</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    std::vector&lt; AbstractKernelFunction&lt;RealVector&gt; * &gt; kernels1;</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    kernels1.push_back( &amp;baseKernel1 );</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    kernels1.push_back( &amp;baseKernel2 );</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>    <a class="code hl_class" href="classshark_1_1_weighted_sum_kernel.html" title="Weighted sum of kernel functions.">DenseWeightedSumKernel</a> kernel1( kernels1 );</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>    <span class="comment"></span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment"></span> </div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>        <span class="comment">// examine initial state</span></div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot; ======================= WeightedSumKernel: ======================= &quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(0): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(1): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.numberOfParameters(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.parameterVector(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.eval(x1,x2): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    </div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="comment">// change something</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    RealVector new_params_1( kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() );</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    new_params_1(0) = 1.0;</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a3682a26ae5a4261c1be65d8d672d9252">setParameterVector</a>( new_params_1 );</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    </div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="comment">// examine again</span></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.parameterVector() with 1st parameter set to 1: &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.eval(x1,x2): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>    </div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <span class="comment">// change something else</span></div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>    </div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="comment">// examine once more</span></div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(0): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(1): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.numberOfParameters(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.parameterVector(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>    </div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        <span class="comment">// another change</span></div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>    kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">false</span>);</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(1,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    </div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="comment">// examining again</span></div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(0): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(1): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.numberOfParameters(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.parameterVector(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    </div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        <span class="comment">// last change</span></div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a227f996baf7f509c9cfe2e95f0ba1135" title="Set adaptivity of all m_base kernels.">setAdaptiveAll</a>(<span class="keyword">true</span>);</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>    </div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="comment">// last examination</span></div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(0): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.isAdaptive(1): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.numberOfParameters(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.parameterVector(): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel1.eval(x1,x2): &quot;</span> &lt;&lt; kernel1.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    <span class="comment"></span></div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment"></span> </div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel3(0.1);</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel4(0.01);</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>    std::vector&lt;AbstractKernelFunction&lt;RealVector&gt;* &gt; kernels2;</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    kernels2.push_back(&amp;baseKernel3);</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>    kernels2.push_back(&amp;baseKernel4);</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    </div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        std::vector&lt; std::pair&lt; std::size_t, std::size_t &gt; &gt; indcs_1;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    indcs_1.push_back( std::make_pair( 0,2 ) );</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    indcs_1.push_back( std::make_pair( 0,2 ) );</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>    <a class="code hl_class" href="classshark_1_1_subrange_kernel.html" title="Weighted sum of kernel functions.">DenseSubrangeKernel</a> kernel2( kernels2, indcs_1 );</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>    <span class="comment"></span></div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment"></span> </div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>        <span class="comment">// examine initial state</span></div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>    std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot; ======================= SubrangeKernel, full index range: ======================= &quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>    cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(0): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(1): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.numberOfParameters(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.parameterVector(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.eval(x1,x2): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>    </div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>        <span class="comment">// change something</span></div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>    RealVector new_params_2( kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() );</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    new_params_2(0) = 1.0;</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a3682a26ae5a4261c1be65d8d672d9252">setParameterVector</a>( new_params_2 );</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>    </div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <span class="comment">// examine again</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.parameterVector() with 1st parameter set to 1: &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.eval(x1,x2): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    </div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        <span class="comment">// change something else</span></div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>    </div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <span class="comment">// examine once more</span></div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(0): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(1): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.numberOfParameters(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.parameterVector(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>    </div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <span class="comment">// another change</span></div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>    kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">false</span>);</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>    kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(1,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    </div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        <span class="comment">// examining again</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(0): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(1): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.numberOfParameters(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.parameterVector(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>    </div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <span class="comment">// last change</span></div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a227f996baf7f509c9cfe2e95f0ba1135" title="Set adaptivity of all m_base kernels.">setAdaptiveAll</a>(<span class="keyword">true</span>);</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    </div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>        <span class="comment">// last examination</span></div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(0): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.isAdaptive(1): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.numberOfParameters(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.parameterVector(): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel2.eval(x1,x2): &quot;</span> &lt;&lt; kernel2.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>    </div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment"></span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment"></span> </div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span> </div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel5(0.1);</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernel6(0.01);</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    std::vector&lt;AbstractKernelFunction&lt;RealVector&gt;* &gt; kernels3;</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>    kernels3.push_back(&amp;baseKernel5);</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>    kernels3.push_back(&amp;baseKernel6);</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>    </div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        std::vector&lt; std::pair&lt; std::size_t, std::size_t &gt; &gt; indcs_2;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>    indcs_2.push_back( std::make_pair( 0,1 ) );</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>    indcs_2.push_back( std::make_pair( 1,2 ) );</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>    <a class="code hl_class" href="classshark_1_1_subrange_kernel.html" title="Weighted sum of kernel functions.">DenseSubrangeKernel</a> kernel3( kernels3, indcs_2 );</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>    <span class="comment"></span></div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span><span class="comment"></span> </div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        <span class="comment">// examine initial state</span></div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>    std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot; ======================= SubrangeKernel partial index range: ======================= &quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>    cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(0): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(1): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.numberOfParameters(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.parameterVector(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.eval(x1,x2): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>    </div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>        <span class="comment">// change something</span></div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>    RealVector new_params_3( kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() );</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    new_params_3(0) = 1.0;</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a3682a26ae5a4261c1be65d8d672d9252">setParameterVector</a>( new_params_3 );</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    </div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="comment">// examine again</span></div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.parameterVector() with 1st parameter set to 1: &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.eval(x1,x2): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>    </div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        <span class="comment">// change something else</span></div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>    kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    </div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>        <span class="comment">// examine once more</span></div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(0): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(1): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.numberOfParameters(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.parameterVector(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>    </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="comment">// another change</span></div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>    kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(0,<span class="keyword">false</span>);</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>    kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#aa433177f587bf2a79c7ec36977f15f00" title="Set adaptivity of m_base kernel index.">setAdaptive</a>(1,<span class="keyword">true</span>);</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>    </div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>        <span class="comment">// examining again</span></div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(0): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(1): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.numberOfParameters(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.parameterVector(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl&lt;&lt; endl;</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>    </div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>        <span class="comment">// last change</span></div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>    kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a227f996baf7f509c9cfe2e95f0ba1135" title="Set adaptivity of all m_base kernels.">setAdaptiveAll</a>(<span class="keyword">true</span>);</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>    </div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>        <span class="comment">// last examination</span></div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(0): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.isAdaptive(1): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.numberOfParameters(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.parameterVector(): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>    cout &lt;&lt; <span class="stringliteral">&quot;kernel3.eval(x1,x2): &quot;</span> &lt;&lt; kernel3.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>(x1,x2) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span>    <span class="comment"></span></div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span><span class="comment"></span> </div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span> </div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>        <span class="comment">// set dimensions for data</span></div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>    std::size_t <span class="keyword">const</span> num_samples = 2;</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>    std::size_t <span class="keyword">const</span> dim_nonzeros = 2;</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>    std::size_t <span class="keyword">const</span> max_elem_discr_kernel = 3;</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>    std::size_t <span class="keyword">const</span> dim_sparse = 5;</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>    <span class="comment">// create temporary helper container</span></div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>    std::vector&lt;HeterogeneousInputStruct&gt; data( num_samples );</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>    <span class="comment">// and fill it</span></div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>    data[0].rv1.resize( dim_nonzeros ); data[0].crv3.resize( dim_sparse); <span class="comment">//size 5</span></div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>    data[1].rv1.resize( dim_nonzeros ); data[1].crv3.resize( dim_sparse); <span class="comment">//size 5</span></div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>    data[0].rv1(0) = 1.0; data[0].rv1(1) = -1.0; data[0].crv3(1) = -0.5; data[0].crv3(4) = 8.0;</div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span>    data[1].rv1(0) = 1.0; data[1].rv1(1) = -2.0; data[1].crv3(1) =  1.0; data[1].crv3(3) = 0.1;</div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>    data[0].st2 = 1; data[1].st2 = 2;</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>    <span class="comment">// and use it to create the &#39;real&#39; dataset</span></div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;HeterogeneousInputStruct&gt;</a> dataset = <a class="code hl_function" href="group__shark__globals.html#ga1a1a4f4249f709e6169a601a9a857fa8" title="creates a data object from a range of elements">createDataFromRange</a>( data, 10 );</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>    <span class="comment"></span></div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span><span class="comment"></span> </div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>        <span class="comment">//create state matrix for the discrete kernel. necessary but not so relevant</span></div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>    RealMatrix matK( max_elem_discr_kernel, max_elem_discr_kernel );</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>    matK(0,0) = 0.05; matK(1,1) = 1.0;  matK(2,2) = 0.5;</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>    matK(0,1) = matK(1,0) = 0.2; matK(0,2) = matK(2,0) = 0.4;  matK(1,2) = matK(2,1) = 0.6;</div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>    <span class="comment">// set up base kernels</span></div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a> baseKernelRV1(0.1);</div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>    <a class="code hl_class" href="classshark_1_1_discrete_kernel.html" title="Kernel on a finite, discrete space.">DiscreteKernel</a> baseKernelST2(matK);</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>    <a class="code hl_class" href="classshark_1_1_linear_kernel.html" title="Linear Kernel, parameter free.">DenseLinearKernel</a> baseKernelCRV3;</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>    <a class="code hl_class" href="classshark_1_1_mkl_kernel.html" title="Weighted sum of kernel functions.">MklKernel&lt;HeterogeneousInputStruct&gt;</a> mkl_kernel( boost::fusion::make_vector( &amp;baseKernelRV1, &amp;baseKernelST2, &amp;baseKernelCRV3) );</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>    </div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        <span class="comment">// examine initial state</span></div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>    std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot; ======================= MklKernel: ======================= &quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>    cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(0): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(1): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(2): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(2) &lt;&lt; endl;</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.numberOfParameters(): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.parameterVector(): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.eval( dataset.element(0), dataset.element(1) ): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>( dataset.<a class="code hl_function" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">element</a>(0), dataset.<a class="code hl_function" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">element</a>(1) ) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span>    </div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>        <span class="comment">// change something</span></div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>    mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a227f996baf7f509c9cfe2e95f0ba1135" title="Set adaptivity of all m_base kernels.">setAdaptiveAll</a>(<span class="keyword">true</span>);</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>    RealVector new_params_4( mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() );</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>    new_params_4(0) = 1.0;</div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>    new_params_4(2) = 0.2;</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>    mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a3682a26ae5a4261c1be65d8d672d9252">setParameterVector</a>( new_params_4 );</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    </div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span>        <span class="comment">// examine effects</span></div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(0): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(0) &lt;&lt; endl;</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(1): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(1) &lt;&lt; endl;</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.isAdaptive(2): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a86efd4f545c8abf4caea4d9c38589e80" title="Check whether m_base kernel index is adaptive.">isAdaptive</a>(2) &lt;&lt; endl;</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.numberOfParameters(): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a0d8ada3a0f91d423094039784f700461" title="Return the number of parameters.">numberOfParameters</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.parameterVector(): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a7947a32a41b0bff7ac5e1f5532cccf51">parameterVector</a>() &lt;&lt; endl;</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>    cout &lt;&lt; <span class="stringliteral">&quot;mkl_kernel.eval( dataset.element(0), dataset.element(1) ): &quot;</span> &lt;&lt; mkl_kernel.<a class="code hl_function" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">eval</a>( dataset.<a class="code hl_function" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">element</a>(0), dataset.<a class="code hl_function" href="group__shark__globals.html#ga0ea72a74a21d5ff59772516b83c4a58b">element</a>(1) ) &lt;&lt; endl &lt;&lt; endl;</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>    </div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span><span class="comment"></span> </div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span><span class="comment">////////////////////////////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span><span class="comment"></span> </div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>        std::size_t num_dims = 9;</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>    std::size_t num_points = 200;</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>    std::vector&lt;RealVector&gt; input(num_points);</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>    RealVector v(num_dims);</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>    <span class="keywordflow">for</span> ( std::size_t i=0; i&lt;num_points; i++ ) {</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>        <span class="keywordflow">for</span> ( std::size_t j=0; j&lt;num_dims; j++ )</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>            v(j) = <a class="code hl_function" href="namespaceshark_1_1random.html#a18f302ea18f70835c59935973ba8ea84" title="Draws a number uniformly in [lower,upper] by drawing random numbers from rng.">random::uni</a>(<a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>, -1,1);</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>        input[i] = v;</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>    }</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>    <a class="code hl_class" href="classshark_1_1_unlabeled_data.html" title="Data set for unsupervised learning.">UnlabeledData&lt;RealVector&gt;</a> rand_data = <a class="code hl_function" href="group__shark__globals.html#ga1a1a4f4249f709e6169a601a9a857fa8" title="creates a data object from a range of elements">createDataFromRange</a>( input );</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>    </div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span> </div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span>        <span class="comment">// declare kernels</span></div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">DenseRbfKernel</a>         unnormalized_kernel1(0.1);</div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span>    <a class="code hl_class" href="classshark_1_1_linear_kernel.html" title="Linear Kernel, parameter free.">DenseLinearKernel</a>      unnormalized_kernel2;</div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span>    <a class="code hl_class" href="classshark_1_1_polynomial_kernel.html" title="Polynomial kernel.">DensePolynomialKernel</a>  unnormalized_kernel3(2, 1.0);</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span>    <span class="comment">// declare indices</span></div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span>    std::vector&lt; std::pair&lt; std::size_t, std::size_t &gt; &gt; indices;</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span>    indices.push_back( std::make_pair( 0,3 ) );</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>    indices.push_back( std::make_pair( 3,6 ) );</div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>    indices.push_back( std::make_pair( 6,9 ) );</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>    </div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>        <a class="code hl_class" href="classshark_1_1_scaled_kernel.html" title="Scaled version of a kernel function.">DenseScaledKernel</a> scale( &amp;unnormalized_kernel3 );</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>    <a class="code hl_class" href="classshark_1_1_normalize_kernel_unit_variance.html" title="Determine the scaling factor of a ScaledKernel so that it has unit variance in feature space one on a...">NormalizeKernelUnitVariance&lt;&gt;</a> normalizer;</div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>    normalizer.<a class="code hl_function" href="classshark_1_1_normalize_kernel_unit_variance.html#a4bdc12938183edab9acdfd89bde72286">train</a>( scale, rand_data );</div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>    </div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span> </div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span>        std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot; ======================= Kernel normalization: ======================= &quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span> </div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span>    std::cout &lt;&lt; endl &lt;&lt; <span class="stringliteral">&quot;Done training. Factor is &quot;</span> &lt;&lt; scale.<a class="code hl_function" href="classshark_1_1_scaled_kernel.html#ab039d0f8d3e1e40d61d0897f1c4953a4">factor</a>() &lt;&lt; std::endl;</div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span>    std::cout &lt;&lt; <span class="stringliteral">&quot;Mean                   = &quot;</span> &lt;&lt; normalizer.<a class="code hl_function" href="classshark_1_1_normalize_kernel_unit_variance.html#aa7dbe18d207e4fd219bb27dd982c699e">mean</a>() &lt;&lt; std::endl;</div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span>    std::cout &lt;&lt; <span class="stringliteral">&quot;Trace                  = &quot;</span> &lt;&lt; normalizer.<a class="code hl_function" href="classshark_1_1_normalize_kernel_unit_variance.html#a4be3973e544871a8e7bdf1f77d4670fb">trace</a>() &lt;&lt; std::endl &lt;&lt; std::endl;</div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>    <span class="comment">//check in feature space</span></div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>    <span class="keywordtype">double</span> control = 0.0;</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>    <span class="keywordflow">for</span> ( std::size_t i=0; i&lt;num_points; i++ ) {</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>        control += scale.<a class="code hl_function" href="classshark_1_1_scaled_kernel.html#afc59d0d0d69706360cfd5b30bbd10a0e">eval</a>(input[i], input[i]);</div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span>        <span class="keywordflow">for</span> ( std::size_t j=0; j&lt;num_points; j++ ) {</div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span>            control -= scale.<a class="code hl_function" href="classshark_1_1_scaled_kernel.html#afc59d0d0d69706360cfd5b30bbd10a0e">eval</a>(input[i],input[j]) / num_points;</div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span>        }</div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span>    }</div>
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno">  340</span>    control /= num_points;</div>
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span>    std::cout &lt;&lt; <span class="stringliteral">&quot;Resulting variance of scaled Kernel: &quot;</span> &lt;&lt; control &lt;&lt; std::endl &lt;&lt; std::endl;</div>
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span>    </div>
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span>        std::vector&lt;AbstractKernelFunction&lt;RealVector&gt;* &gt; kernels4;</div>
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno">  344</span>    kernels4.push_back( &amp;unnormalized_kernel1 );</div>
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span>    kernels4.push_back( &amp;unnormalized_kernel2 );</div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>    kernels4.push_back( &amp;scale );</div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>    <a class="code hl_class" href="classshark_1_1_subrange_kernel.html" title="Weighted sum of kernel functions.">DenseSubrangeKernel</a> kernel4( kernels4, indices );</div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span>    }</div>
</div>
</div><!-- fragment --></div><!-- contents -->
</div>
</body>
</html>
